The Extraordinary Link Between Deep Neural Networks and the Nature of the Universe

In the last couple of years, deep learning techniques have taken the world of artificial intelligence by storm. One by one, the abilities and techniques that humans once imagined were uniquely our own have begun to fall to the onslaught of ever more powerful machines. Deep neural networks are now better than humans at tasks such as face recognition and object recognition. They’ve mastered the ancient game of Go and thrashed the best human players. But there is a problem. There is no mathematical reason why networks arranged in layers should be so good at these challenges. Mathematicians are flummoxed. Despite the huge success of deep neural networks, nobody is quite sure how they achieve their success. Today that changes thanks to the work of Henry Lin at Harvard University…


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